Enhancing Privacy-Preserving Mechanisms in Cloud Storage: a Novel Conceptual Framework

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Date

2023

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Publisher

Wiley

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HYBRID

Green Open Access

No

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Top 10%
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Abstract

Data privacy is critical for users who want to use Cloud storage services. There is a significant focus on Cloud service providers to address this need. However, in the evolving dynamic cyber-space, privacy infractions are rising and pose threats to Cloud storage infrastructures. Several studies developed various models and techniques to ensure the privacy of Cloud storage contents. However, these models came with several shortages in the privacy-preserving attributes they cover. Thus, this article identified a comprehensive set of Cloud data storage privacy-preserving attributes to propose a flexible and efficient framework to handle the privacy problem. This framework uses a multi-layer encryption storage structure and a one-time password authentication technique. The findings of this article intend to help future communities to enhance existing techniques or develop new research-based practical alternatives. Since Cloud computing is a rapidly growing technology, new privacy vulnerabilities emerge daily. Future research might confirm the findings of this article and test the suggested framework in different contexts.

Description

Alzoubi, Yehia Ibrahim/0000-0003-4329-4072; Mishra, Alok/0000-0003-1275-2050; Alzoubi, Yehia Ibrahim/0000-0003-4329-4072; mishra, Dr kamta nath/0000-0001-8070-9009

Keywords

Cloud privacy, Cloud storage, conceptual framework, encryption attributes, privacy preservation

Turkish CoHE Thesis Center URL

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WoS Q

Q3

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Q2
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OpenCitations Citation Count
9

Source

Concurrency and Computation: Practice and Experience

Volume

35

Issue

26

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CrossRef : 4

Scopus : 18

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Mendeley Readers : 31

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19

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9

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1

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